A business driven cloud optimization architecture

Authors:
Marin Litoiu;Murray Woodside;Johnny Wong;Joanna Ng;Gabriel Iszlai
Affiliations:
York University, Canada;Carleton University, Canada;University of Waterloo, Canada;IBM Toronto Lab, Canada;IBM Toronto Lab, Canada
Venue:
Proceedings of the 2010 ACM Symposium on Applied Computing
Year:
2010

Citing 10
Cited 6

The Vision of Autonomic Computing

Computer
Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure

Computer
An Architectural Approach to Autonomic Computing

ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Performance Model Estimation and Tracking Using Optimal Filters

IEEE Transactions on Software Engineering
An adaptive feedback controller for SIP server memory overload protection

ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Fast scalable optimization to configure service systems having cost and quality of service constraints

ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Performance model driven QoS guarantees and optimization in clouds

CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
Deployment of Services in a Cloud Subject to Memory and License Constraints

CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Resource provisioning for cloud computing

CASCON '09 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research
Survey Constrained model predictive control: Stability and optimality

Automatica (Journal of IFAC)

The top ten cloud-security practices in next-generation networking

International Journal of Communication Networks and Distributed Systems
Distributed computing in the 21st century: some aspects of cloud computing

Dependable and Historic Computing
A layered coordination framework for optimizing resource allocation in adapting cloud-based applications

Proceedings of the 27th Annual ACM Symposium on Applied Computing
The QOL approach for optimizing distributed queries without complete knowledge

Proceedings of the 16th International Database Engineering & Applications Sysmposium
An Inter-cloud Outsourcing Model to Scale Performance, Availability and Security

UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Mechanisms for SLA provisioning in cloud-based service providers

Computer Networks: The International Journal of Computer and Telecommunications Networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we discuss several facets of optimization in cloud computing, the corresponding challenges and propose an architecture for addressing those challenges. We consider a layered cloud where various cloud layers virtualize parts of the cloud infrastructure. The architecture takes into account different stakeholders in the cloud (infrastructure providers, platform providers, application providers and end users). The architecture supports self-management by automating most of the activities pertaining to optimization: monitoring, analysis and prediction, planning and execution.